Matrix-analytic Methods in Stochastic Models

Unravels Complex Problems through Quantum Monte Carlo MethodsClusters hold the key to our understanding of intermolecular forces and how these affect the physical properties of bulk condensed matter.

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

Models and Methods in Social Network Analysis, first published in 2005, presents the most important developments in quantitative models and methods for analyzing social network data that have appeared during the 1990s. Intended as a complement to Wasserman and Faust's Social Network Analysis: Methods and Applications, it is a collection of articles by leading methodologists reviewing advances in their particular areas of network methods. Reviewed are advances in network measurement, network sampling, the analysis of centrality, positional analysis or blockmodelling, the analysis of diffusion through networks, the analysis of affiliation or 'two-mode' networks, the theory of random graphs, dependence graphs, exponential families of random graphs, the analysis of longitudinal network data, graphical techniques for exploring network data, and software for the analysis of social networks.

This book is devoted to new classes of parabolic differential and pseudo-differential equations extensively studied in the last decades, such as parabolic systems of a quasi-homogeneous structure, deg

* Good reference text; clusters well with other Birkhauser integral equations & integral methods books (Estrada and Kanwal, Kythe/Puri, Constanda, et al). * Includes many practical applications/te

This is the first book of its kind to advocate utilizing and combining an assortment of trauma treatment models.

At present much of political science consists of a large body of formal mathematical work that remains largely unexplored empirically and an expanding use of sophisticated statistical techniques. While there are examples of noteworthy efforts to bridge the gap between these, there is still a need for much more cooperative work between formal theorists and empirical researchers in the discipline. This book explores how empirical analysis has, can, and should be used to evaluate formal models in political science. The book is intended to be a guide for active and future political scientists who are confronting the issues of empirical analysis with formal models in their work and as a basis for a needed dialogue between empirical and formal theoretical researchers in political science. These developments, if combined, are potentially a basis for a new revolution in political science.

This book offers concrete and practical ideas for implementing content-based instruction -- using subject matter rather than grammar -- through eleven case studies of cutting-edge models in a broad va

The Matching Method for Asymptotic Solutions in Chemical Physics Problems by A. M. Il'in, L. A. Kalyakin, and S. I. MaslennikovSingularly Perturbed Problems with Boundary and Interior Layers: Theory a

This volume brings together the works of distinguished authors in the field of postformal-operational cognitive, social, and perceptual development to examine the models and methodology used to invest

Macroeconomics offers a modern and comprehensive introduction to the tools and methods that define contemporary graduate training in the field. Written for first-year PhD students and advanced MA/MS students, the book provides a rigorous yet accessible foundation in dynamic optimization, recursive methods, competitive equilibrium, stochastic modelling, and welfare analysis. It emphasizes clarity and intuition, guiding readers through the logic of intertemporal decision-making that underlies modern macro theory. A key feature of the text is its explicit connection to data. Throughout the book, theory is used to interpret empirical patterns, illustrating how macroeconomic models help us understand real-world behavior and policy-relevant facts. Quantitative and computational tools are integrated throughout to show how models are taken to the data. The book develops frameworks with heterogeneity and frictions, including incomplete markets, borrowing constraints, labor-market search frictio

Logical Positivism: An American History tells the remarkable story of a group of European philosophers and scientists who fled fascism and reshaped American philosophy. Drawing on extensive archival materials, it traces the conflicted reception of their ideas-- once hailed as a model of scientific clarity and yet condemned as a sterile and reductive approach to philosophy. Rather than treating logical positivism as a purely European export, this book argues that it was a product of transatlantic exchange. It reconstructs the rise of an American network of scientists and philosophers whose ideas were defined by twentieth-century revolutions in logic and modern physics; and it shows how their encounters with European 幦igr廥 helped shape a new 'analytic' style of philosophy that has dominated the field ever since. Combining narrative reconstruction with innovative digital humanities methods, this book illuminates the intellectual, institutional, and cultural conditions that enabled logical

Now in its second edition, Forensic DNA Evidence Interpretation is the most comprehensive resource for DNA casework available today. Written by leaders in the fields of biology and statistics, including a contribution from Peter Gill, the father of DNA analysis, the book emphasizes the interpretation of test results and provides the necessary formulae in an easily accessible manner. This latest edition is fully updated and includes current and emerging techniques in this fast-moving field. The book begins by reviewing all pertinent biology, and then provides information on every aspect of DNA analysis. This includes modern interpretation methods and contemporary population genetic models available for estimating DNA frequencies or likelihood ratios. Following a chapter on procedures for validating databases, the text presents overviews and performance assessments of both modern sampling uncertainty methods and current paternity testing techniques, including new guidelines on paternity

隨機微分方程已廣泛用於金融數量計算，如利率期限結構，資產定價以及金融衍生品定價等。隨機微分方程是金融數學的一個重要理論工具，而設計快速有效的算法求解金融隨機模型的複雜隨機微分方程和模型的參數校準是非常重要的兩個問題，解決這類問題對相關金融數學理論的發展也具有重要的推動作用。本書設計一類高階算法對列維過程驅動的隨機微分方程和延遲隨機微分方程求解並將其應用于期權定價研究，並且還設計一類基於粒子群優化的

This monograph aims to promote original mathematical methods to determine the invariant measure of two-dimensional random walks in domains with boundaries. Such processes arise in numerous application

"One of the greatest changes in the sports world during the past 20 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. This boo

In this concise yet comprehensive guide to the mathematics of modern portfolio theory the authors discuss mean-variance analysis, factor models, utility theory, stochastic dominance, very long term investing, the capital asset pricing model, risk measures including VAR, coherence, market efficiency, rationality and the modelling of actuarial liabilities. Each topic is clearly explained with assumptions, mathematics, limitations, problems and solutions presented in turn. Joshi's trademark style of clarity and practicality is here brought to classical financial mathematics. The book is suitable for mathematically trained students in actuarial studies, business and economics as well as mathematics and finance, and it can be used for both self-study and as a course text. The authors' experience as both academics and practitioners brings clarity and relevance to the book, whilst ensuring that the limitations of models are highlighted.

Scientist, Engineers, Technocrats, Academicians, and Researcher have a vital role to play in the process of emergence of new theories, models, systems, and technologies. They also have a responsibilit

This book constitutes the proceedings of the 4th EuroSymposium on Systems Analysis and Design, SIGSAND/PLAIS 2011, held in Gdansk, Poland, in September 2011.The objective of this symposium is to promo

The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of relia